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Staff Data Scientist

Staff Data Scientist

Recruiting from ScratchSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Who is Recruiting from Scratch :

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.

Title of Role : Staff Data Scientist

Location : San Francisco, CA (On-site)

Company Stage of Funding : Series C

Office Type : On-site, 5 days / week

Salary : $250,000-$300,000 base; equity eligible; comprehensive benefits

Company Description

We are a third-party recruiting partner representing a fast-growing enterprise AI company building production-grade conversational agents used by well-known brands. Backed by top-tier investors and recently funded at Series C, the company is scaling quickly and is investing in a world-class data function to drive product strategy and measurable business impact.

What You Will Do

  • Lead the design, implementation, and interpretation of rigorous experiments (A / B and multivariate) to inform product and customer experience decisions.
  • Perform deep-dive analyses on user behavior, product performance, and business outcomes; translate findings into clear recommendations.
  • Define and evolve core metrics, data models, and dashboards to ensure consistent, trustworthy reporting across teams.
  • Partner with Product, Engineering, and leadership to embed measurement best practices into development cycles and launch reviews.
  • Evaluate and help reason about machine-learning systems (including LLM-based features) : clarify assumptions, trade-offs, and business implications.
  • Contribute to the modern analytics stack (e.g., pipelines, modeling, and self-serve tools) that empowers company-wide decision-making.
  • Communicate insights to executive and cross-functional audiences in a concise, persuasive way.

Ideal Candidate Background

  • 5+ years of experience in data science or product analytics with a track record of driving measurable product impact.
  • Advanced proficiency in SQL and Python, and strong foundations in statistics and experimental design.
  • Demonstrated experience designing, running, and analyzing experiments at scale for consumer, marketplace, or enterprise products.
  • Ability to analyze and interpret ML model behavior, limitations, and impact on user outcomes.
  • Excellent communication and stakeholder management skills; comfortable influencing product direction.
  • Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent practical experience .
  • Ability to work on-site in San Francisco (five days per week).
  • Preferred

  • Experience building / maintaining analytics data models and metrics layers (e.g., dbt) and orchestrating pipelines (e.g., Airflow).
  • Familiarity with modern warehouses / BI (e.g., Snowflake / BigQuery, Looker / Mode) and large-scale data processing (e.g., Spark).
  • Prior work evaluating LLM or recommendation systems and developing evaluation frameworks for AI / ML features.
  • Background in high-scale products with strong experimentation cultures.
  • Experience mentoring other analysts / scientists and elevating experimentation / measurement practices.
  • Compensation, Benefits, and Other Details

  • Base Salary : $250,000-$300,000, based on skills, experience, and interview performance.
  • Equity : Role is equity-eligible.
  • Benefits : Our client offers a comprehensive benefits package that may include medical, dental, and vision coverage, paid time off, parental leave, retirement savings options, and commuter support. Specifics will be discussed during the interview process.
  • Work Authorization : Candidates of all backgrounds are encouraged to apply. Work authorization and any sponsorship availability will be discussed confidentially with the recruiting team.
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    Staff Data Scientist • San Francisco, CA, United States

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